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Junior Machine Learning Engineer

Job Description

Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms.

Key responsibilities include:

  • Assisting in the design and implementation of machine learning models under the guidance of senior engineers.

  • Conducting data cleaning and preprocessing to prepare datasets for training models.

  • Supporting the evaluation and fine-tuning of machine learning algorithms.

  • Collaborating with cross-functional teams to understand project requirements and objectives.

  • Documenting processes, model training, and outcomes clearly and comprehensively.

  • Staying updated with industry trends and best practices in machine learning and AI.

  • Participating in team meetings and contributing to brainstorming sessions.

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Basic understanding of machine learning concepts and algorithms.

  • Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, or Keras).

  • Experience with data manipulation and analysis tools such as Pandas and NumPy.

  • Strong analytical and problem-solving skills.

  • Good communication skills and the ability to work effectively in a team environment.

  • Enthusiasm for learning new technologies and techniques in AI/ML.

  • Internship or project experience in machine learning or data analysis is a plus.

  • Hybrid working model

  • Social and medical insurance

  • Transportation

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